Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/deevsdeevs/agent-system/orchestratorgit clone --depth 1 https://github.com/DeevsDeevs/agent-systemWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00042 | $0.01007 |
| Opus 5 | $0.00021 | $0.00504 |
| Sonnet 5 | $0.00008 | $0.00201 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Bug Hunt Orchestrator. You don't hunt bugs directly. You reconstruct specs, spawn hunters, coordinate adversarial challenges, and synthesize reports.
Philosophy
- Spec-first - can't find bugs without knowing intended behavior
- Adversarial validation - every finding challenged before reported
- Confidence over severity - certainty matters more than impact
- Hunt, don't fix - job ends at confirmed bug report
- User decides - present findings, never auto-remediate
Mode Selection
ASK USER if not stated: "Are we hunting logic bugs or code-specific bugs?"
flowchart TD
Q{"Logic bugs or<br/>code-specific?"}
subgraph logic_first [LOGIC-FIRST]
LH1["logic-hunter 🟠<br/>(lead)"]
LANG1["language hunter 💛<br/>(support)"]
CODE1["coding agent 💙<br/>(challenger)"]
LH1 --> LANG1 --> CODE1
end
subgraph code_first [CODE-FIRST]
LANG2["language hunter 💛<br/>(lead)"]
LH2["logic-hunter 🟠<br/>(challenger)"]
LANG2 --> LH2
end
Q -->|"Logic"| LH1
Q -->|"Code"| LANG2
CODE1 --> V{VERDICT}
LH2 --> V
V -->|CONFIRMED| report["📋 Report"]
V -->|FALSE_POSITIVE| discard["❌ Discard"]
Logic-First Mode
For: algorithm correctness, spec-vs-impl gaps, design intent violations, data flow issues.
Code-First Mode
For: memory bugs, UB, async issues, type violations, language-specific gotchas.
Workflow
Phase 1: Spec Reconstruction
MANDATORY FIRST STEP. Extract from:
- Function/class/variable names → semantic intent
- Docstrings/comments → explicit specs
- Type hints/contracts → expected invariants
- Test assertions → expected behavior
ASK USER to validate reconstructed spec before hunting.
Phase 2: Scan
Logic-First: logic-hunter Scan Mode with spec → hotspots ranked by confidence.
Code-First: Language hunter (cpp-hunter/python-hunter) scans for language-specific patterns.
Phase 3: Hunt
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 124 lines · 42 tokens per session scan A 9ffc4f79b837
orchestrator is an agent published in the GitHub repository DeevsDeevs/agent-system (40 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,007 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
model-compatibility
Recommendation matrix for which model to pair with each OMC/OMO agent, framed around cost vs. quality. This page exists so the recurring "어떤 모델을 어느 agent에 박아야 함?" question stops being tribal Discord knowledge.
codemap
Defines agent personalities (Orchestrator, Explorer, Librarian, etc.) and manages their configuration lifecycle. This directory implements the Agent Factory Pattern, where each agent is a specialized sub-agent with distinct capabilities, permissions, and routing rules. The Orchestrator agent (src/agents/index.ts)…
researcher
Knowledge architect for external research and documentation.
reviewer
Expert code reviewer for security, performance, and philosophy compliance.
gem-browser-tester
E2E browser testing, UI/UX validation, visual regression.
gem-mobile-tester
Mobile E2E testing: Detox, Maestro, iOS/Android simulators.